Bivariate quantitative trait linkage analysis

Pleiotropy versus co- incident linkages

Laura Almasy, Thomas D. Dyer, John Blangero

Research output: Contribution to journalArticle

279 Citations (Scopus)

Abstract

Power to detect linkage and localization of a major gene were compared in univariate and bivariate variance components linkage analysis of three related quantitative traits in general pedigrees. Although both methods demonstrated adequate power to detect loci of moderate effect, bivariate analysis improved both power and localization for correlated quantitative traits mapping to the same chromosomal region, regardless of whether co- localization was the result of pleiotropy. Additionally, a test of pleiotropy versus co-incident linkage was shown to have adequate power and a low error rate.

Original languageEnglish (US)
Pages (from-to)953-958
Number of pages6
JournalGenetic Epidemiology
Volume14
Issue number6
DOIs
StatePublished - 1997
Externally publishedYes

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Pedigree
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Keywords

  • Linkage analysis
  • Pleiotropy
  • Quantitative traits
  • Statistical genetics

ASJC Scopus subject areas

  • Genetics(clinical)
  • Epidemiology

Cite this

Bivariate quantitative trait linkage analysis : Pleiotropy versus co- incident linkages. / Almasy, Laura; Dyer, Thomas D.; Blangero, John.

In: Genetic Epidemiology, Vol. 14, No. 6, 1997, p. 953-958.

Research output: Contribution to journalArticle

Almasy, Laura ; Dyer, Thomas D. ; Blangero, John. / Bivariate quantitative trait linkage analysis : Pleiotropy versus co- incident linkages. In: Genetic Epidemiology. 1997 ; Vol. 14, No. 6. pp. 953-958.
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